Digital Commons Network^™

A Load-Bearing, Fluid-Mediated Robotic Joint Architecture Combining Variable-Geometry Friction Interlocks With Passive Multi-Stage Granular Jamming Inside A Tensegrity Compression Frame, Volodymyr Kotegov

Defensive Publications Series

This paper describes the QUINTO-CMC modular articulation architecture, built to hold high structural loads in contaminated or corrosive operating environments while cutting static holding power to a minimal telemetry-only draw. The system replaces high-maintenance, actively powered joints with an unpowered, field-replaceable cartridge that locks mechanically under zero electrical load. The physical joint module weighs no more than 1.75 kg. Static holding draw is limited to 18–25 W for telemetry and monitoring alone — the mechanical lock itself needs no electrical power. Three kinematically uncoupled passive locking layers trigger in sequence during pressure drops or sudden fluid loss. The primary retention …

Two‑Phase Trust‑Region Constraint Programming With Dynamic Bounds Scaling For Macro Legalization And Alignment, Vijayavelu S, Amit Saluja, Surya Barik, Arijit Hazra

Defensive Publications Series

Legalizing a mixed‑size layout that holds large hard macro blocks together with millions of standard cells becomes difficult at advanced technology nodes, where mismatched technology grids and zero‑slack boundaries leave narrow room for movement.  Prior approaches bound macro movement with one static displacement limit, so a tight limit can leave macros out of alignment and a loose limit can deadlock a discrete engine.  Disclosed is a two‑phase method that separates legalization from alignment.  A first phase carries hard feasibility rules without an alignment objective and returns a legal coordinate set.  A bounds scaling module then sizes a search window for …

Contention-Based Write Pulse Modulation On A Replica Timing Path For Process-Tolerant Sram Write Operations, Abhishek Dalal, Ayush Kulshrestha, Ajith K. P, Guru Shamanna, Akash Jha

Defensive Publications Series

Write margins in a static random-access memory (SRAM) array shift with semiconductor process variation, and the shift grows severe at the slow-NMOS/fast-PMOS (SF) corner, where a strong pull-up network inside a storage cell resists an overwrite.  A raised supply voltage widens that mismatch gap further.  A write pulse modulation method addresses the problem by coupling a contention circuit to the dummy bitline of a replica timing path.  The contention circuit holds an active pull-up against a dummy pull-down network, so the discharge rate of the dummy bitline follows the local ratio of PMOS drive to NMOS drive.  Reset logic ends …

Explainable Ai-Governed Namespace Capability Risk Brokerage With Kernel-Enforced Operation Leases, Bharat Kumar Putta

Defensive Publications Series

A security architecture is proposed herein for controlling privileged actions by artificial intelligence (AI) agents and automated workloads across operating-system, container, cluster, and tenant namespaces. The architecture evaluates cumulative capability risk and issues narrowly scoped, short-lived operation leases. Each lease is cryptographically bound to the requesting workload, target object, operation arguments, namespace context, policy version, and a human-auditable explanation, and is verified by the operating-system kernel at the moment of execution. By replacing broad standing privileges and application-layer allow decisions with explainable, context-sensitive least privilege, the architecture reduces the time-of-check-to-time-of-use gap, supports immediate invalidation when relevant context changes, and creates …

Method And System For Consumer-Specific Attribute Filtering In Distributed Message Brokers, Soumendra Kumar Mishra, Mansi Singh, Ravi Shanker Kumar Sinha, Amitabh Ranjan, Katyayani Kiranmayee Kolluru, Sumit Kumar

Defensive Publications Series

A system for consumer-specific attribute filtering in a distributed message broker environment is provided. The system includes an attribute subscription registry configured to store a consumer identifier, a topic identifier, and a list of permitted attribute paths for each consumer. The system includes a producer interface configured to publish a canonical message payload containing a plurality of attributes to a message broker, compute an Attribute Location Index during serialization that maps each attribute name to byte offset boundaries within a serialized message body, and attach the Attribute Location Index as a message header. The system includes the message broker configured …

Rule Based Pre-Execution Validation Of Financial Transactions With Generative Anomaly Explanations, Shalini Jha, Farhan Rawani, Bhaskar Mangalampalli, Alba Campus, Sanhitha Seerapu, Millie Martin, Arib Shan, Tilottama Basu, Amogh Badugu, Sai Krishna, Ramya Karyampudi

Defensive Publications Series

Financial transaction processing systems, for example in payroll, can face challenges where validation is reactive, leading to the late discovery of complex discrepancies after payments are executed. A system and method are described for pre-execution validation of financial transactions. The system can function as a validation layer that applies business rules to batches of transaction data using techniques such as set-based processing. This approach can identify potential anomalies across large datasets before execution. For detected anomalies, a generative model can produce a human-readable explanation detailing a potential rule violation and the associated data. This pre-execution identification and contextualization of potential …

Continuous Dimension Extraction For Semantic Product Organization, Nathan Grabaskas

Defensive Publications Series

Systems for organizing products on digital commerce platforms can be limited by rigid taxonomies that may not capture nuanced attributes, and some high-dimensional vector representations can lack interpretability. A computational framework can transform product information into a semantically organized and navigable space. The framework can encode products into high-dimensional vectors and then employ two parallel processes. One path may use clustering algorithms and generative language models to group products into labeled sub-archetypes. A second path may use non-linear dimensionality reduction followed by an iterative principal component analysis to extract and label continuous trade-off axes from the data. The resulting clusters …

Steering Generative Ai Responses By Predicting User Intentions Using Slms And Behavioral Telemetry, Rachit Mathur, Payal Shah

Defensive Publications Series

Current conversational AI systems rely on monotonic streaming, requiring users to wait for complete responses before correcting misinterpretations. This disclosure describes a bifurcated dual-dispatch architecture that steers generative AI outputs mid-stream. By pairing a localized Small Language Model (SLM) shadow parser with a high-capacity frontier LLM, the system dynamically analyzes real-time client-side behavioral telemetry - including keystroke dwell times, backspace mutation ratios, and paste metadata to predict user intent and cognitive friction. When volatile semantic nodes or potential intent mismatches are detected, the SLM executes pre-emptive mitigations by tuning inference hyperparameters (such as temperature) or surfacing non-blocking, inline "intent chips" …

Spectrum, Volume 57, Issue 1, Sacred Heart University

Newspapers (Obelisk & Spectrum)

Highlights include: Doctor of Medical Science Program Founded by SHU Alum -- SHU Dining is on Fire–Literally -- Spectrum Receives National Recognition -- FIJI Finds a Home at Sacred Heart -- Script to Stage: TheatreFest 2026 -- New Conference, New Competition

Teaching Individuals With Autism To Mand For Choice-Making Opportunities, Sarah T. Kong

Doctoral Dissertations - College of Arts and Sciences

The integration of choice-making opportunities into behavior analytic treatment has produced improvements in the lives of individuals with autism. Although researchers have focused on improving staff presentation of choice-making opportunities (Van der Meer et al., 2017), this approach places choice-making under the stimulus control of staff initiations and may result in missed opportunities for the child to make choices when it is most valuable to them. We evaluated the effectiveness of a mand training procedure to teach individuals with autism to request choice-making opportunities. Single trials were interspersed into participants’ typical treatment programming and contexts were designed to establish the …

Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod

Turkish Journal of Electrical Engineering and Computer Sciences

The transition toward low-carbon energy systems has increased interest in hydrogen as a clean energy carrier, with solar-driven water electrolysis emerging as a promising technology due to its high efficiency and compatibility with renewable energy sources. However, dynamic operating conditions and intermittent renewable input accelerate electrolyzer degradation, reducing reliability and system lifespan. Predictive maintenance (PdM), supported by artificial intelligence (AI), offers a data-driven approach to anticipate failures and improve operational durability. This review systematically investigates AI-based PdM approaches for electrolyzers, with an emphasis on long short-term memory (LSTM) networks and Internet of things (IoT) integration. Following PRISMA 2020 guidelines, 35 …

Dynamic Focal Loss Adjustment For Railway Defect Detection, Mehmet Koç, Ridvan Özdemi̇r, Ömer Gerek

Turkish Journal of Electrical Engineering and Computer Sciences

Railway infrastructure is critical to the safe and efficient operation of transportation systems, and the early detection of defects is essential for preventing catastrophic failures. Automated defect detection methods are therefore crucial for maintaining continuous safety while reducing maintenance costs. Although Focal Loss is widely used in object detection under class-imbalanced conditions, its fixed α parameter may limit its effectiveness in detecting rare defects. In this study, we propose an adaptive α-tuned Focal Loss approach that dynamically adjusts class weights based on average precision (AP) values. By iteratively optimizing α without relying on gradient-based optimization, the proposed method improves the …

Relative Rate Observer-Based Online Tuning Mechanism For Single-Input Interval Type-2 Fuzzy Pid Controllers, Oqba Aldreiei, Cenk Ulu, Mert Can Kurucu, Müjde Güzelkaya

Turkish Journal of Electrical Engineering and Computer Sciences

The characteristics of the footprint of uncertainty (FOU) in interval type-2 membership functions (IT2-MFs) are crucial to the performance and robustness of interval type-2 fuzzy controllers (IT2-FCs). However, existing IT2-FC design approaches mostly use fixed FOU structures. This study proposes an online membership function (MF) adjustment mechanism for a single-input interval type-2 fuzzy PID controller (SIT2-FPID)  that adjusts the FOU of the antecedent MFs and weights of the consequent MFs, respectively, to achieve high performance and robustness. The proposed online adjustment mechanism consists of a relative rate observer (RRO), a two-input rule-base adjustment system, and a first-order smoothing filter. The …

Cuip-X25: A Real-World Network Intrusion Dataset For Next-Generation Ai-Driven Security, Arshad Iqbal, Sohail Asghar

Turkish Journal of Electrical Engineering and Computer Sciences

The efficacy of artificial intelligence (AI) in intrusion detection systems (IDS) is critically dependent on high-fidelity training data. However, as detailed in the manuscript's literature review, existing benchmark datasets are predominantly synthetic, outdated, or imbalanced and fail to capture the complexity of the contemporary threat landscape. To bridge this gap, this study introduces CUIP-X25, a novel real-world cyber-attack dataset captured over a four-month period using a dionaea honeypot deployed on a public network. Unlike synthetic alternatives, this dataset provides an authentic representation of modern adversarial tactics, techniques, and procedures, encompassing 3.16 million real events across ten distinct attack categories, including …

Robust Load Frequency Control For Multiarea Electrical Power Systems Via Analytical Proportional-Integral-Derivative Plus Second Order Derivative Controller Design, Yavuz Güler, Mustafa Nalbantoğlu, Ibrahim Kaya

Turkish Journal of Electrical Engineering and Computer Sciences

This research presents a proportional-integral-derivative plus second order derivative (PIDD2) controller design based on the Direct Synthesis Method (DSM) for load frequency control (LFC) of interconnected power systems. The parameters of the proposed PIDD2 controller are determined using the DSM, which offers an analytical approach for tuning. The design approaches have been developed specifically for single, two, and three-area power systems, encompassing nonreheated and reheated thermal turbines. In the proposed design method, the best values of PIDD2 controller parameters were found by using a multicriteria objective function that includes the integral of absolute error (IAE) and settling time. In response …

Boundary Layer Sliding Mode Control Strategy For Variable-Speed Compressor In Deep Freezers: Experimental Validation Of Energy Efficiency And Freezing Capacity, Sertan Aksoy, Kami̇l Çeti̇n, Sezai̇ Taşkin

Turkish Journal of Electrical Engineering and Computer Sciences

This study presents the design and experimental validation of a nonlinear sliding mode controller developed for a deep freezer equipped with a variable-speed compressor. The proposed control strategy aims to minimize energy consumption while maintaining rapid and stable cooling performance under varying ambient conditions. A detailed thermal model of the deep freezer was established using an equivalent resistance–capacitance network representation, enabling precise analysis of temperature dynamics. The sliding mode-based control algorithm dynamically adjusts the compressor’s operating frequency according to temperature deviation, ambient conditions, and time-dependent factors, providing robust performance without requiring parameter retuning for different models. Beyond theoretical-based analysis, a …

Welcome To Our Charity Bazaar, Leslee Thorne-Murphy, Maggie Kopp

Faculty Publications

Catalog for the 2017-2018 exhibit at L. Tom Perry Special Collections, BYU Library. Charity bazaars were a product of a massive nineteenth-century philanthropic undertaking in the United Kingdom, as private citizens attempted to respond to the social ills created by a rapidly industrializing economy. Bazaars combined the entertainment value of a social gathering and the fun of a town fair, with the moral earnestness of philanthropic work. Typically organized by women, these bazaars offered handmade goods for sale, raising funds for numerous local and national charitable causes. The exhibit showcases the history and print culture of the charity bazaar, from …

Harvest And Retting Method Alter The Composition Of Hemp Fiber For High Performance Concrete, Abigail Lazier, Jennifer Macadam, Srishti Banerji, Bruce Bugbee

Plants, Soils and Climate Student Research

Recently, the use of natural fibers in place of polymer fibers in high performance concrete has been explored for improved mechanical properties (including reduced spalling) and greater sustainability. This project aims to recycle biomass waste produced by the medical cannabis industry by using it in concrete. We have designed and conducted multiple studies to determine efficient methods for fiber harvest and processing from our in-house medical cannabis waste. Harvest method, (including fresh harvest and defoliation or physically induced senescence), storage condition, ( 4 C or 25 C), and processing technique, (mechanical or biological) were trialed. Additionally, we used standard forage …

Kyle Beatty V. Clinton Gardner

2026 Decisions

USDC for the Middle District of Pennsylvania

Kindra O\'Bryant V. Dcp&P

2026 Decisions

USDC for the District of New Jersey

In Re: Albert Sedges

2026 Decisions

USDC for the District of New Jersey

In Re: Albert Sedges

2026 Decisions

USDC for the District of New Jersey

Oyekunle Oyelakin V. Clerk Of The Philadelphia Family Court

2026 Decisions

USDC for the Eastern District of Pennsylvania

L.-L. V. Attorney General United States Of America

2026 Decisions

Agency

Arianne Bracho Hernandez V. Attorney General United States Of America

2026 Decisions

Agency

Multilayered Childhood Adversity And Mortality: A Population-Based Cohort Study Of 1.2 Million Individuals, Naja Hulvej Rod, Signe Kær Bennetsen, Leonie K. Elsenburg, Clive E. Sabel, David Taylor–Robinson, Dora Kovacs, Adrian G. Zucco, Tjeerd Rudmer De Vries

School of Geography, Earth and Environmental Sciences

Background: Childhood adversity is multi-layered, extending beyond the family to include broader neighbourhood and health contexts. We aimed to investigate how these multiple layers of childhood adversity relate to the risk of death in young adulthood. Methods: Children were followed from birth into young adulthood (16–42 years) using nationwide register data on multi-layered childhood adversity and mortality. Individual adversity included perinatal adversity (preterm or small-for-gestational-age) and mental and physical health-service use. Family adversity included five distinct groups using group-based multi-trajectory modelling based on 12 adversities. Neighbourhood adversity included material deprivation in small-area geographical zones. We evaluated associations of these layers …

Successful Treatment Of Recurrent Epithelioid Trophoblastic Tumor (Ett) With Pembrolizumab After Pembrolizumab: A Case Report And Review Of Literature In Treatment Of Ett, Sarah Mokma, Sarah Alnaif, Nicholas Cardillo

Abington Jefferson Health Papers

BACKGROUND: Epithelioid Trophoblastic Tumors (ETT) are rare, which makes an optimal treatment regimen difficult to determine. Since PD-L1 is expressed in placental tissue and in gestational trophoblastic neoplasia (GTN), immunotherapies such as pembrolizumab have been proposed as possible treatments.

CASE PRESENTATION: The case presented is a 50-year-old postmenopausal female who presented with postmenopausal bleeding and a large, fungating cervical mass. Cervical biopsies confirmed ETT. The patient underwent primary debulking surgery with radical abdominal hysterectomy, bilateral salpingo-oophorectomy, and sigmoid colon resection. The patient was diagnosed with a FIGO Stage IV ETT due to tumor extension to sigmoid colon with a high-risk …

Empowering Edge Intelligence Through Reparameterized Lightweight Transformers And Distributed Inference, Hosein Esmaeili, Mohammad Ali Afshar Kazemi, Reza Radfar, Nazanin Pilevari

Turkish Journal of Electrical Engineering and Computer Sciences

Deploying advanced transformer-based models on resource-constrained edge devices remains a significant challenge due to their high memory footprint and substantial compute requirements. In this paper, we propose a reparameterized transformer framework that integrates High-Rank Factorization (HRF) during training, layer merging at inference, and dynamic, load-balanced distributed inference across multiple devices. To further reduce resource usage, our framework supports mixed-precision quantization down to 4-bit, enabling flexible accuracy–latency–energy trade-offs. Experimental evaluations on the ESC-50 environmental sound dataset demonstrate that our method matches or exceeds the performance of larger baseline models while using 20–30% fewer parameters, achieving up to 48% latency reduction in …

Standardizing Tracheostomy And Laryngectomy Terminology For Patient Safety: Global Outlook, Naomi Nancy Simon Walter, Michael J. Brenner, Vinciya Pandian

International Nursing Research Congress (INRC)

Background: Patients who breathe “through the neck only” following tracheostomy or total laryngectomy cannot be ventilated through the mouth or nose. Misunderstanding or misuse of airway terminology can lead to catastrophic management errors, including hypoxia, brain injury, or death. Despite growing awareness, no standardized, patient-centered nomenclature exists for describing airway anatomy in these populations.

Purpose: To clarify and standardize terminology describing tracheostomy and laryngectomy airway anatomy by conducting a global mixed methods survey of healthcare professionals (HCPs), patients, families, and caregivers (PFCs), promoting accuracy, safety, and patient-centeredness in communication.

Methods: A multidisciplinary team developed and iteratively refined a survey instrument …

Developing A Near-Peer Teaching Clinical Placement Model To Enhance Students’ Self-Efficacy Beliefs, Beth Pierce, Thea Van De Mortel, Jeanne Allen

International Nursing Research Congress (INRC)

Near-peer teaching (NPT) involves senior students teaching junior students from the same discipline (Zheng & Wang, 2022). While NPT is integrated extensively in medicine, it recently gained traction in nurse education (Irvine et al., 2018). Near-peer teaching in classrooms/laboratories has been found to enhance senior nursing students’ leadership and teaching skills and junior nursing students’ knowledge and psychomotor skills (Irvine et al., 2018; Zhang et al., 2022). Less is known about its integration in nursing students’ clinical placements (Pierce et al., 2024), nor its influence on their self-efficacy beliefs, both essential to future clinical performance (Abusubhiah et al., 2023).

This …